Model save
Browse files- README.md +11 -12
- all_results.json +6 -11
- train_results.json +6 -6
- trainer_state.json +85 -85
README.md
CHANGED
|
@@ -3,7 +3,6 @@ base_model: meta-llama/Llama-2-7b-chat-hf
|
|
| 3 |
library_name: peft
|
| 4 |
license: llama2
|
| 5 |
tags:
|
| 6 |
-
- alignment-handbook
|
| 7 |
- trl
|
| 8 |
- sft
|
| 9 |
- generated_from_trainer
|
|
@@ -19,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 19 |
|
| 20 |
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
-
- Loss: 0.
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
@@ -56,16 +55,16 @@ The following hyperparameters were used during training:
|
|
| 56 |
|
| 57 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 58 |
|:-------------:|:------:|:----:|:---------------:|
|
| 59 |
-
|
|
| 60 |
-
| 1.
|
| 61 |
-
| 1.
|
| 62 |
-
|
|
| 63 |
-
| 0.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
-
| 0.
|
| 69 |
|
| 70 |
|
| 71 |
### Framework versions
|
|
|
|
| 3 |
library_name: peft
|
| 4 |
license: llama2
|
| 5 |
tags:
|
|
|
|
| 6 |
- trl
|
| 7 |
- sft
|
| 8 |
- generated_from_trainer
|
|
|
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.7382
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 55 |
|
| 56 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
|:-------------:|:------:|:----:|:---------------:|
|
| 58 |
+
| 2.1392 | 0.7692 | 5 | 2.1469 |
|
| 59 |
+
| 1.2925 | 1.5385 | 10 | 1.1819 |
|
| 60 |
+
| 1.0332 | 2.3077 | 15 | 0.8971 |
|
| 61 |
+
| 0.9534 | 3.0769 | 20 | 0.8235 |
|
| 62 |
+
| 0.8612 | 3.8462 | 25 | 0.7759 |
|
| 63 |
+
| 0.7801 | 4.6154 | 30 | 0.7457 |
|
| 64 |
+
| 0.7752 | 5.3846 | 35 | 0.7379 |
|
| 65 |
+
| 0.6727 | 6.1538 | 40 | 0.7387 |
|
| 66 |
+
| 0.7328 | 6.9231 | 45 | 0.7381 |
|
| 67 |
+
| 0.6869 | 7.6923 | 50 | 0.7382 |
|
| 68 |
|
| 69 |
|
| 70 |
### Framework versions
|
all_results.json
CHANGED
|
@@ -1,14 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch": 7.
|
| 3 |
-
"
|
| 4 |
-
"
|
| 5 |
-
"
|
| 6 |
-
"eval_samples_per_second": 14.565,
|
| 7 |
-
"eval_steps_per_second": 2.185,
|
| 8 |
-
"total_flos": 1436866805760.0,
|
| 9 |
-
"train_loss": 0.4985464477539063,
|
| 10 |
-
"train_runtime": 119.1701,
|
| 11 |
"train_samples": 100,
|
| 12 |
-
"train_samples_per_second":
|
| 13 |
-
"train_steps_per_second": 0.
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 7.6923076923076925,
|
| 3 |
+
"total_flos": 1447302955008.0,
|
| 4 |
+
"train_loss": 0.982821364402771,
|
| 5 |
+
"train_runtime": 185.3525,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
"train_samples": 100,
|
| 7 |
+
"train_samples_per_second": 4.316,
|
| 8 |
+
"train_steps_per_second": 0.27
|
| 9 |
}
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch": 7.
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 100,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second": 0.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 7.6923076923076925,
|
| 3 |
+
"total_flos": 1447302955008.0,
|
| 4 |
+
"train_loss": 0.982821364402771,
|
| 5 |
+
"train_runtime": 185.3525,
|
| 6 |
"train_samples": 100,
|
| 7 |
+
"train_samples_per_second": 4.316,
|
| 8 |
+
"train_steps_per_second": 0.27
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 7.
|
| 5 |
"eval_steps": 5,
|
| 6 |
"global_step": 50,
|
| 7 |
"is_hyper_param_search": false,
|
|
@@ -10,169 +10,169 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.15384615384615385,
|
| 13 |
-
"grad_norm": 0.
|
| 14 |
-
"learning_rate":
|
| 15 |
"loss": 1.6442,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.7692307692307693,
|
| 20 |
-
"grad_norm": 1.
|
| 21 |
-
"learning_rate": 0.
|
| 22 |
-
"loss":
|
| 23 |
"step": 5
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.7692307692307693,
|
| 27 |
-
"eval_loss":
|
| 28 |
-
"eval_runtime": 2.
|
| 29 |
-
"eval_samples_per_second": 7.
|
| 30 |
-
"eval_steps_per_second": 1.
|
| 31 |
"step": 5
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 1.5384615384615383,
|
| 35 |
-
"grad_norm": 0.
|
| 36 |
-
"learning_rate": 0.
|
| 37 |
-
"loss": 1.
|
| 38 |
"step": 10
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 1.5384615384615383,
|
| 42 |
-
"eval_loss": 1.
|
| 43 |
-
"eval_runtime": 1.
|
| 44 |
-
"eval_samples_per_second": 14.
|
| 45 |
-
"eval_steps_per_second": 2.
|
| 46 |
"step": 10
|
| 47 |
},
|
| 48 |
{
|
| 49 |
"epoch": 2.3076923076923075,
|
| 50 |
-
"grad_norm": 0.
|
| 51 |
-
"learning_rate":
|
| 52 |
-
"loss": 1.
|
| 53 |
"step": 15
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 2.3076923076923075,
|
| 57 |
-
"eval_loss":
|
| 58 |
-
"eval_runtime": 1.
|
| 59 |
-
"eval_samples_per_second": 14.
|
| 60 |
"eval_steps_per_second": 2.239,
|
| 61 |
"step": 15
|
| 62 |
},
|
| 63 |
{
|
| 64 |
"epoch": 3.076923076923077,
|
| 65 |
-
"grad_norm":
|
| 66 |
-
"learning_rate": 0.
|
| 67 |
-
"loss":
|
| 68 |
"step": 20
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 3.076923076923077,
|
| 72 |
-
"eval_loss": 0.
|
| 73 |
-
"eval_runtime": 1.
|
| 74 |
-
"eval_samples_per_second": 14.
|
| 75 |
-
"eval_steps_per_second": 2.
|
| 76 |
"step": 20
|
| 77 |
},
|
| 78 |
{
|
| 79 |
-
"epoch":
|
| 80 |
-
"grad_norm": 0.
|
| 81 |
"learning_rate": 0.00011736481776669306,
|
| 82 |
-
"loss": 0.
|
| 83 |
"step": 25
|
| 84 |
},
|
| 85 |
{
|
| 86 |
-
"epoch":
|
| 87 |
-
"eval_loss": 0.
|
| 88 |
-
"eval_runtime":
|
| 89 |
-
"eval_samples_per_second":
|
| 90 |
-
"eval_steps_per_second":
|
| 91 |
"step": 25
|
| 92 |
},
|
| 93 |
{
|
| 94 |
-
"epoch": 4.
|
| 95 |
-
"grad_norm": 0.
|
| 96 |
"learning_rate": 8.263518223330697e-05,
|
| 97 |
-
"loss": 0.
|
| 98 |
"step": 30
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch": 4.
|
| 102 |
-
"eval_loss": 0.
|
| 103 |
-
"eval_runtime": 1.
|
| 104 |
-
"eval_samples_per_second":
|
| 105 |
-
"eval_steps_per_second": 2.
|
| 106 |
"step": 30
|
| 107 |
},
|
| 108 |
{
|
| 109 |
-
"epoch": 5.
|
| 110 |
-
"grad_norm": 0.
|
| 111 |
"learning_rate": 5.000000000000002e-05,
|
| 112 |
-
"loss": 0.
|
| 113 |
"step": 35
|
| 114 |
},
|
| 115 |
{
|
| 116 |
-
"epoch": 5.
|
| 117 |
-
"eval_loss": 0.
|
| 118 |
-
"eval_runtime": 1.
|
| 119 |
-
"eval_samples_per_second": 15.
|
| 120 |
-
"eval_steps_per_second": 2.
|
| 121 |
"step": 35
|
| 122 |
},
|
| 123 |
{
|
| 124 |
-
"epoch": 6.
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
"learning_rate": 2.339555568810221e-05,
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 40
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch": 6.
|
| 132 |
-
"eval_loss": 0.
|
| 133 |
-
"eval_runtime": 1.
|
| 134 |
-
"eval_samples_per_second":
|
| 135 |
-
"eval_steps_per_second": 2.
|
| 136 |
"step": 40
|
| 137 |
},
|
| 138 |
{
|
| 139 |
-
"epoch":
|
| 140 |
-
"grad_norm": 0.
|
| 141 |
"learning_rate": 6.030737921409169e-06,
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 45
|
| 144 |
},
|
| 145 |
{
|
| 146 |
-
"epoch":
|
| 147 |
-
"eval_loss": 0.
|
| 148 |
-
"eval_runtime": 1.
|
| 149 |
-
"eval_samples_per_second":
|
| 150 |
-
"eval_steps_per_second": 2.
|
| 151 |
"step": 45
|
| 152 |
},
|
| 153 |
{
|
| 154 |
-
"epoch": 7.
|
| 155 |
-
"grad_norm": 0.
|
| 156 |
"learning_rate": 0.0,
|
| 157 |
-
"loss": 0.
|
| 158 |
"step": 50
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch": 7.
|
| 162 |
-
"eval_loss": 0.
|
| 163 |
-
"eval_runtime": 1.
|
| 164 |
-
"eval_samples_per_second": 15.
|
| 165 |
-
"eval_steps_per_second": 2.
|
| 166 |
"step": 50
|
| 167 |
},
|
| 168 |
{
|
| 169 |
-
"epoch": 7.
|
| 170 |
"step": 50,
|
| 171 |
-
"total_flos":
|
| 172 |
-
"train_loss": 0.
|
| 173 |
-
"train_runtime":
|
| 174 |
-
"train_samples_per_second":
|
| 175 |
-
"train_steps_per_second": 0.
|
| 176 |
}
|
| 177 |
],
|
| 178 |
"logging_steps": 5,
|
|
@@ -192,7 +192,7 @@
|
|
| 192 |
"attributes": {}
|
| 193 |
}
|
| 194 |
},
|
| 195 |
-
"total_flos":
|
| 196 |
"train_batch_size": 4,
|
| 197 |
"trial_name": null,
|
| 198 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 7.6923076923076925,
|
| 5 |
"eval_steps": 5,
|
| 6 |
"global_step": 50,
|
| 7 |
"is_hyper_param_search": false,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.15384615384615385,
|
| 13 |
+
"grad_norm": 0.7987578036789214,
|
| 14 |
+
"learning_rate": 4e-05,
|
| 15 |
"loss": 1.6442,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.7692307692307693,
|
| 20 |
+
"grad_norm": 1.4536572670447663,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 2.1392,
|
| 23 |
"step": 5
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.7692307692307693,
|
| 27 |
+
"eval_loss": 2.1469364166259766,
|
| 28 |
+
"eval_runtime": 2.606,
|
| 29 |
+
"eval_samples_per_second": 7.675,
|
| 30 |
+
"eval_steps_per_second": 1.151,
|
| 31 |
"step": 5
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 1.5384615384615383,
|
| 35 |
+
"grad_norm": 0.938799841460093,
|
| 36 |
+
"learning_rate": 0.00019396926207859084,
|
| 37 |
+
"loss": 1.2925,
|
| 38 |
"step": 10
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 1.5384615384615383,
|
| 42 |
+
"eval_loss": 1.181947112083435,
|
| 43 |
+
"eval_runtime": 1.3337,
|
| 44 |
+
"eval_samples_per_second": 14.996,
|
| 45 |
+
"eval_steps_per_second": 2.249,
|
| 46 |
"step": 10
|
| 47 |
},
|
| 48 |
{
|
| 49 |
"epoch": 2.3076923076923075,
|
| 50 |
+
"grad_norm": 0.5916866520464388,
|
| 51 |
+
"learning_rate": 0.0001766044443118978,
|
| 52 |
+
"loss": 1.0332,
|
| 53 |
"step": 15
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 2.3076923076923075,
|
| 57 |
+
"eval_loss": 0.8970538973808289,
|
| 58 |
+
"eval_runtime": 1.3399,
|
| 59 |
+
"eval_samples_per_second": 14.926,
|
| 60 |
"eval_steps_per_second": 2.239,
|
| 61 |
"step": 15
|
| 62 |
},
|
| 63 |
{
|
| 64 |
"epoch": 3.076923076923077,
|
| 65 |
+
"grad_norm": 1.6899482115511137,
|
| 66 |
+
"learning_rate": 0.00015000000000000001,
|
| 67 |
+
"loss": 0.9534,
|
| 68 |
"step": 20
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 3.076923076923077,
|
| 72 |
+
"eval_loss": 0.8234956860542297,
|
| 73 |
+
"eval_runtime": 1.3359,
|
| 74 |
+
"eval_samples_per_second": 14.971,
|
| 75 |
+
"eval_steps_per_second": 2.246,
|
| 76 |
"step": 20
|
| 77 |
},
|
| 78 |
{
|
| 79 |
+
"epoch": 3.8461538461538463,
|
| 80 |
+
"grad_norm": 0.6188790517019873,
|
| 81 |
"learning_rate": 0.00011736481776669306,
|
| 82 |
+
"loss": 0.8612,
|
| 83 |
"step": 25
|
| 84 |
},
|
| 85 |
{
|
| 86 |
+
"epoch": 3.8461538461538463,
|
| 87 |
+
"eval_loss": 0.7758801579475403,
|
| 88 |
+
"eval_runtime": 1.3323,
|
| 89 |
+
"eval_samples_per_second": 15.012,
|
| 90 |
+
"eval_steps_per_second": 2.252,
|
| 91 |
"step": 25
|
| 92 |
},
|
| 93 |
{
|
| 94 |
+
"epoch": 4.615384615384615,
|
| 95 |
+
"grad_norm": 0.15897285891594412,
|
| 96 |
"learning_rate": 8.263518223330697e-05,
|
| 97 |
+
"loss": 0.7801,
|
| 98 |
"step": 30
|
| 99 |
},
|
| 100 |
{
|
| 101 |
+
"epoch": 4.615384615384615,
|
| 102 |
+
"eval_loss": 0.7456648945808411,
|
| 103 |
+
"eval_runtime": 1.3352,
|
| 104 |
+
"eval_samples_per_second": 14.979,
|
| 105 |
+
"eval_steps_per_second": 2.247,
|
| 106 |
"step": 30
|
| 107 |
},
|
| 108 |
{
|
| 109 |
+
"epoch": 5.384615384615385,
|
| 110 |
+
"grad_norm": 0.2123967206389714,
|
| 111 |
"learning_rate": 5.000000000000002e-05,
|
| 112 |
+
"loss": 0.7752,
|
| 113 |
"step": 35
|
| 114 |
},
|
| 115 |
{
|
| 116 |
+
"epoch": 5.384615384615385,
|
| 117 |
+
"eval_loss": 0.7378687262535095,
|
| 118 |
+
"eval_runtime": 1.3301,
|
| 119 |
+
"eval_samples_per_second": 15.037,
|
| 120 |
+
"eval_steps_per_second": 2.256,
|
| 121 |
"step": 35
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 6.153846153846154,
|
| 125 |
+
"grad_norm": 0.3816302523405475,
|
| 126 |
"learning_rate": 2.339555568810221e-05,
|
| 127 |
+
"loss": 0.6727,
|
| 128 |
"step": 40
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 6.153846153846154,
|
| 132 |
+
"eval_loss": 0.738702654838562,
|
| 133 |
+
"eval_runtime": 1.3319,
|
| 134 |
+
"eval_samples_per_second": 15.016,
|
| 135 |
+
"eval_steps_per_second": 2.252,
|
| 136 |
"step": 40
|
| 137 |
},
|
| 138 |
{
|
| 139 |
+
"epoch": 6.923076923076923,
|
| 140 |
+
"grad_norm": 0.20189352065054944,
|
| 141 |
"learning_rate": 6.030737921409169e-06,
|
| 142 |
+
"loss": 0.7328,
|
| 143 |
"step": 45
|
| 144 |
},
|
| 145 |
{
|
| 146 |
+
"epoch": 6.923076923076923,
|
| 147 |
+
"eval_loss": 0.7381218075752258,
|
| 148 |
+
"eval_runtime": 1.3341,
|
| 149 |
+
"eval_samples_per_second": 14.992,
|
| 150 |
+
"eval_steps_per_second": 2.249,
|
| 151 |
"step": 45
|
| 152 |
},
|
| 153 |
{
|
| 154 |
+
"epoch": 7.6923076923076925,
|
| 155 |
+
"grad_norm": 0.29727669934654843,
|
| 156 |
"learning_rate": 0.0,
|
| 157 |
+
"loss": 0.6869,
|
| 158 |
"step": 50
|
| 159 |
},
|
| 160 |
{
|
| 161 |
+
"epoch": 7.6923076923076925,
|
| 162 |
+
"eval_loss": 0.7382391095161438,
|
| 163 |
+
"eval_runtime": 1.3314,
|
| 164 |
+
"eval_samples_per_second": 15.022,
|
| 165 |
+
"eval_steps_per_second": 2.253,
|
| 166 |
"step": 50
|
| 167 |
},
|
| 168 |
{
|
| 169 |
+
"epoch": 7.6923076923076925,
|
| 170 |
"step": 50,
|
| 171 |
+
"total_flos": 1447302955008.0,
|
| 172 |
+
"train_loss": 0.982821364402771,
|
| 173 |
+
"train_runtime": 185.3525,
|
| 174 |
+
"train_samples_per_second": 4.316,
|
| 175 |
+
"train_steps_per_second": 0.27
|
| 176 |
}
|
| 177 |
],
|
| 178 |
"logging_steps": 5,
|
|
|
|
| 192 |
"attributes": {}
|
| 193 |
}
|
| 194 |
},
|
| 195 |
+
"total_flos": 1447302955008.0,
|
| 196 |
"train_batch_size": 4,
|
| 197 |
"trial_name": null,
|
| 198 |
"trial_params": null
|